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Location: Orlando, FL, United States Location: Orlando, FL office (not remote) Status: Project-based Pay: $20.00 USD per hour Benefits: Flexible schedule Hours: 8-40 per week Requirement: Fluent reading, writing, understanding, and typing in Korean ( ko_kr ) Why Join Us? Daily Perks & Occasional Treats: Fully stocked snack bars to keep you powered up every day, plus periodic team lunches and social events on the house. Culture & Connection: Join a friendly, collaborative environment where team members genuinely support one another. Growth & Impact: We invest in our people. We prioritize internal promotions and clear career pathways so you can build a long-term future here. With Productive Playhouse, native Korean speakers can make extra money by working flexible hours! We are seeking a detail-oriented and motivated Korean Transcriber to join our team. In this role, you will be responsible for converting audio and video recordings into written text accurately and efficiently, while maintaining knowledge of client-specific conventions and standards. The ideal candidate will have strong listening skills, excellent grammar, and a keen eye for detail. You can work a minimum of 8 hours per week up to 40 hours maximum per week! Key Responsibilities: Listen to audio recordings and accurately transcribe spoken content into text format, following project-specific guidelines, including formatting, punctuation, and grammar. Perform superior transcription work for all assigned client projects, adhering to client-specific Written Domain Conventions. Maintain continuous knowledge of extensive client-written Doman Conventions and “clean room” policies. Refer to current training materials and guidelines as needed to ensure compliance and quality. Review and proofread transcripts for accuracy and completeness. Report any technical issues or concerns to the appropriate channels promptly. Suggest opportunities for process improvement to enhance efficiency and quality. Manage time effectively to meet established deadlines and maintain high levels of productivity and quality. Handle confidential information with discretion and adhere to all privacy and security guidelines. Participate in other projects and tasks as assigned. Qualifications & Skills: Typing speed of 40 WPM in Korean ( ko_kr ) or higher is preferred. Exceptional written and verbal communication skills, with strong attention to punctuation, grammar, and spelling. Ability to quickly learn and adapt to client-specific style guides and written domain conventions. Strong research abilities, particularly for verifying the accurate spelling of names, locations, and products. Proficiency with both Mac and PC platforms, Microsoft Office Suite, and Google Workspace. Excellent interpersonal skills with the ability to communicate effectively across all levels of the organization. Strong relationship-building skills, capable of fostering connections across diverse perspectives and methods. Demonstrated ability to consistently meet deadlines and maintain high standards of work. Ability to listen to and handle sensitive information with professionalism and maintain strict confidentiality. Requirements: High school diploma or equivalent, additional training in linguistics, transcription, or related fields is a plus. Must be authorized to work in the United States; the company does not provide any work sponsorship. Minimum age: 18 years or older. Reliable transportation to commute to on-site facilities, as required. Proficiency in reading and typing in the specific language applied for, with the ability to understand a wide range of accents and dialects; candidates will be required to pass a language assessment test. Physical Requirements: Ability to move around the office and other work environments, including standing and walking for extended periods. Ability to remain seated for extended periods while working on a computer, including typing and screen-focused tasks. Ability to bend, reach, and perform tasks that require physical agility within a typical office setting Manual dexterity to operate a keyboard and mouse efficiently. Ability to wear headphones for extended periods while listening to audio content. Capacity to perform repetitive tasks, such as typing, with sustained concentration. About Us: As a global data company, Productive Playhouse “PPH”, is pioneering our approach to language and data services, while incorporating their roots as a production company. Originally creating content to support children's language acquisition, our commitment to excellence, forward-thinking strategies, and world-wide cultural experience has proven key for delivering exceptional service. Originally founded as an educational production company, Productive Playhouse made a mark with our award winning children’s series, which taught fundamental subjects through engaging and effective programming. This early success paved the way for our evolution into a comprehensive data services provider. Since 2011, Productive Playhouse has expanded rapidly to offer an extensive suite of data services. Our current offerings include transcription, translation, linguistic analysis, rating, systems testing, localization, field and studio recording, language skill verification, and specialized data handling with a focus on sensitivity and diversity.  Our commitment to innovation means we continually enhance our service portfolio to meet the evolving needs of our clients. At Productive Playhouse, we are proud of our reputation for addressing complex challenges with agility and delivering premium secure data solutions across diverse environments. Our dynamic team is dedicated to maintaining the highest standards and ensuring exceptional service every time. Disclaimer: All engagements are contingent upon successful completion of a background screening. Productive Playhouse is an equal opportunity organization headquartered in California and committed to diversity and inclusion across our global workforce. We welcome applicants of all backgrounds and abilities, regardless of location or engagement type. For accommodations or inquiries, please contact HR.

Location: Lisbon, Portugal German AI Product Evaluator The Project Productive Playhouse is building a talent pool of German speakers for an upcoming project testing and evaluating leading AI chatbots. The objective is to enhance response quality through direct user interaction with the various AI models. Open to freelancers based outside the U.S. This is more than one job. Apply once, and we'll keep you in mind for this project — and future ones that need your language skills. The Details We’re looking for independent contractor engagement (task-based - project-based). Pay Rate: $20.00 USD per hour 100% remote You choose which tasks to take, set your own hours, and are free to work with other clients any time. You can stay flexible as the project evolves. This is an iterative project, work arrives in batches (there may be pauses between them). What You’ll Do As an AI Evaluator, you'll play a critical role in shaping and improving the next generation of Generative AI. You'll participate in structured, hands-on evaluations by interacting directly with various AI models to assess their capabilities, safety, and helpfulness. Your insights and data will directly inform model development and optimization. Exact tasks vary by project and will be spelled out in that project's Statement of Work (SOW) before you start. Depending on the role, your work may include: Testing and evaluating AI chatbots or language models through structured conversations, using assigned goals and prompts. Voice-based interactions with AI models — for projects that involve this, sessions are recorded, and audio may be shared with the client as part of the evaluation deliverable. Submitting deliverables (write-ups, ratings, screenshots, or recordings) in the format each task specifies. What We're Looking For Native or expert-level fluency in German , as spoken in Germany. Strong English reading, writing, and communication skills - assessment maybe required 18 years of age or older Hands-on experience using AI models or large language models Comfortable with both written and voice-based conversation — and good at asking sharp follow-ups Your own smartphone, computer, reliable internet, and comfort with web-based tools Able to pass a language proficiency and technical literacy assessment Responsive communicator — quick replies move you through onboarding faster Able to start within 48 hours Why PPH? Your language skills are the whole point — and this project pays for them Apply once, get contacted directly when a spot opens — no chasing Work from anywhere, on your own schedule, alongside any other work you do Clear task specs, no ongoing oversight, no micromanagement Real project experience with a global data and language services company Work that actually improves how AI understands your language About Productive Playhouse We started by teaching kids through award-winning programming. We grew into a global data and language services company trusted by clients worldwide. But the mission never changed: keep language alive. Transcription, translation, localization, linguistic analysis, AI evaluation — it all comes back to preserving languages and the cultures they carry. All engagements are contingent upon successful completion of identity verification. Productive Playhouse is an equal opportunity organization headquartered in California and committed to diversity and inclusion across our global workforce. We welcome applicants of all backgrounds and abilities, regardless of location or engagement type. For accommodations or inquiries, please contact HR.

Location: Orlando, FL, United States Productive Playhouse is preparing for an exciting new project launch and is building a pipeline of talented Azerbaijan Transcribers in advance. While the position is not yet officially open, we encourage interested candidates to apply early and be among the first considered when we begin hiring. Location: Orlando, FL office (not remote) Status: Project-based Pay: $21.00 USD per hour Benefits: Flexible schedule (possible weekends) Hours: 8-40 per week Requirement: Fluent reading, writing, understanding, and typing in Azerbaijan ( az_az ) Why Join Us? Daily Perks & Occasional Treats: Fully stocked snack bars to keep you powered up every day, plus periodic team lunches and social events on the house. Culture & Connection: Join a friendly, collaborative environment where team members genuinely support one another. Growth & Impact: We invest in our people. We prioritize internal promotions and clear career pathways so you can build a long-term future here. With Productive Playhouse, native Azerbaijan speakers can make extra money by working flexible hours! We are seeking a detail-oriented and motivated Azerbaijan Transcriber to join our team. In this role, you will be responsible for converting audio and video recordings into written text accurately and efficiently, while maintaining knowledge of client-specific conventions and standards. The ideal candidate will have strong listening skills, excellent grammar, and a keen eye for detail. You can work a minimum of 8 hours per week up to 40 hours maximum per week! Key Responsibilities: Listen to audio recordings and accurately transcribe spoken content into text format, following project-specific guidelines, including formatting, punctuation, and grammar. Perform superior transcription work for all assigned client projects, adhering to client-specific Written Domain Conventions. Maintain continuous knowledge of extensive client-written Doman Conventions and “clean room” policies. Refer to current training materials and guidelines as needed to ensure compliance and quality. Review and proofread transcripts for accuracy and completeness. Report any technical issues or concerns to the appropriate channels promptly. Suggest opportunities for process improvement to enhance efficiency and quality. Manage time effectively to meet established deadlines and maintain high levels of productivity and quality. Handle confidential information with discretion and adhere to all privacy and security guidelines. Participate in other projects and tasks as assigned. Qualifications & Skills: Typing speed of 40 WPM in Azerbaijan ( az_az ) or higher is preferred. Exceptional written and verbal communication skills, with strong attention to punctuation, grammar, and spelling. Ability to quickly learn and adapt to client-specific style guides and written domain conventions. Strong research abilities, particularly for verifying the accurate spelling of names, locations, and products. Proficiency with both Mac and PC platforms, Microsoft Office Suite, and Google Workspace. Excellent interpersonal skills with the ability to communicate effectively across all levels of the organization. Strong relationship-building skills, capable of fostering connections across diverse perspectives and methods. Demonstrated ability to consistently meet deadlines and maintain high standards of work. Ability to listen to and handle sensitive information with professionalism and maintain strict confidentiality. Requirements: High school diploma or equivalent, additional training in linguistics, transcription, or related fields is a plus. Must be authorized to work in the United States; the company does not provide any work sponsorship. Minimum age: 18 years or older. Reliable transportation to commute to on-site facilities, as required. Proficiency in reading and typing in the specific language applied for, with the ability to understand a wide range of accents and dialects; candidates will be required to pass a language assessment test. Physical Requirements: Ability to move around the office and other work environments, including standing and walking for extended periods. Ability to remain seated for extended periods while working on a computer, including typing and screen-focused tasks. Ability to bend, reach, and perform tasks that require physical agility within a typical office setting Manual dexterity to operate a keyboard and mouse efficiently. Ability to wear headphones for extended periods while listening to audio content. Capacity to perform repetitive tasks, such as typing, with sustained concentration. About Us: As a global data company, Productive Playhouse “PPH”, is pioneering our approach to language and data services, while incorporating their roots as a production company. Originally creating content to support children's language acquisition, our commitment to excellence, forward-thinking strategies, and world-wide cultural experience has proven key for delivering exceptional service. Originally founded as an educational production company, Productive Playhouse made a mark with our award winning children’s series, which taught fundamental subjects through engaging and effective programming. This early success paved the way for our evolution into a comprehensive data services provider. Since 2011, Productive Playhouse has expanded rapidly to offer an extensive suite of data services. Our current offerings include transcription, translation, linguistic analysis, rating, systems testing, localization, field and studio recording, language skill verification, and specialized data handling with a focus on sensitivity and diversity.  Our commitment to innovation means we continually enhance our service portfolio to meet the evolving needs of our clients. At Productive Playhouse, we are proud of our reputation for addressing complex challenges with agility and delivering premium secure data solutions across diverse environments. Our dynamic team is dedicated to maintaining the highest standards and ensuring exceptional service every time. Disclaimer: All engagements are contingent upon successful completion of a background screening. Productive Playhouse is an equal opportunity organization headquartered in California and committed to diversity and inclusion across our global workforce. We welcome applicants of all backgrounds and abilities, regardless of location or engagement type. For accommodations or inquiries, please contact HR.

— помогать с разноплановыми задачами проекта; — использовать AI-инструменты, включая Claude Code;

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Indonesian speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Indonesian speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Indonesian, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Indonesian and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Пенза Наша команда разметки данных помогает обучать искусственный интеллект. Для обучения нейросетей нужны огромные массивы данных. Эти массивы - необходимо классифицировать, выделять важное, оценивать и др. Мы растём и ищем специалиста, с хорошим знанием русского языка, который будет заниматься подготовкой данных для GigaChat и других нейросетей. Обязанности * проверять ответы модели на стилистические и грамматические ошибки * оценивать запросы пользователей и ответы модели с точки зрения безопасности * проводить классификацию текстовых файлов в соответствии с установленными правилами * проверять достоверность всех фактов в ответах модели * выбирать наилучший ответ модели среди множества других. Перед каждой серией заданий есть инструкция и обучающие примеры, которые помогут более детально понять суть задания. Требования * работа с командой по развитию (наставничество) * курирование проектов * высшее образование (желательно по специальностям филология, русский язык и литература, лингвистика) * высокий уровень знания русского языка, опыт работы с текстами * преимуществом будет: опыт работы с LLM (ChatGPT, GigaChat, YaGPT и пр.), знание иностранных языков (от B1 и выше) * не боитесь рутинных задач, меняющихся условий, готовы быстро вникать в новую малознакомую информацию. Условия * возможность работать из дома (ноутбук и гарнитура предоставляются) для жителей г. Пенза и Пензенской области * оформление согласно трудовому кодексу РФ * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * ДМС и материальная поддержка * корпоративное обучение * карьерный рост * яркая и насыщенная корпоративная жизнь (праздники, соревнования, спортивные мероприятия) * скидки на продукты Сбербанка и экосистемы.

Location: Remote, USA Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.  At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn. This is a part-time contract opportunity that may serve as a supplemental engagement for individuals currently in full-time roles.    The position offers flexible scheduling, with a commitment of up to 28 hours per week. An average of 8-10 hours per week   3-month contract   - The role is largely (95%) completing labeling of PointClickCare clinical notes for data input to help train AI models. There are often singular project tasks at hand that requires sitting for extended periods of time while labeling data. - While labeling, provide clinical feedback and recommendations using nursing knowledge of Senior Living/SNF electronic medical record - Provide Clinical expertise within the labeling team. Ability to align with set labeling rules as well as provide challenging input regarding potential labeling changes with the goal of improving the product. - Work with a team of subject matter experts involving quality review of AI products. -Complete the required training as defined by security, clinical director and HR. Requirements Clinical background ( RN, NP) – at least 5 years' acute or LTPAC clinical experience, clinical software experience and predictive intelligence with an EHR preferred A general familiarity with how AI is being used in healthcare and understanding terminology such as LLM, NLP, hallucinations Clinical degree required; bachelor's degree preferred with proof of clinical license verification Strong organizational and project management skills Must be a self-starter and work independently Must be a multitasker with excellent communication skills who is energized by working in a complex, dynamic, and fast-paced environment Experience in data labeling, supporting and servicing customers using a clinical software application is preferred Technical acumen or familiarity with the PointClickCare EHR is preferred but not required Passion for transforming healthcare Must have a working computer and internet and be willing to comply with technical requirements as outlined by our security and technical teams Specifics Include: Physical security requirements while working within the job, including a private space, a properly secured Wi-Fi connection, no shared access to the computer used for labeling Install the approved and assigned VPN and use a particular internet browser as defined by the project Possess strong proficiency in written and spoken English with professional communication skills and the ability to understand medical terminology Must be able to complete the required background check, contract period and follow HR policies while representing PCC and the period that follows based on policy. #LI-AV1 #LI-remote It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment. When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com  PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Product team defines how millions of people experience Deliveroo, turning complex marketplace challenges into simple, high-impact solutions. Working at the intersection of data, design and engineering, we set direction, prioritise what matters most, and deliver outcomes that move the business forward. We're looking for a Staff Conversation Designer to join in London and set the design direction for AI-powered support across Deliveroo, DoorDash and Wolt. You'll bring a strong AI fluency, technical practice, and editorial point of view to build and shape conversations powered by our LLM models: deciding what a conversation needs to say, what to leave out and how to make each exchange clear, useful, and worthy of people's trust. You'll shape the personality, voice, tone and experience principles that express our brands, local language and support philosophy. You will craft conversation specs, prompts, and evals, annotate data, and co-build the tools and harness that drives our experience. Success means fewer avoidable problems, better resolutions when help is needed, and stronger design practices that help teams deliver those outcomes consistently. What You’ll Be Doing Set support conversation strategy across support journeys, connecting what people need in the moment, what the business can promise, and what operations can actually do. Influence roadmaps with Product, Engineering and Operations, deciding where to invest, what to sequence first and how to balance quality, speed and impact. Design and maintain conversation flows . Lead proactive guidance, chat and voice experiences from definition through launch, anticipating needs to prevent or resolve problems before people ask for help. Create and maintain multi-turn conversation specs covering context, interruptions, changing intent, clarification, error recovery, fallback paths and human handoffs without repetition. Prototype new conversational experiences . Invent and test new conversational patterns, interaction paradigms, personas, and support experiences. Use LLMs and code to explore how people could ask for help, act on options and move between chat, voice and other interfaces. Work with Engineering to shape the information, actions, and human judgement these experiences need, using working prototypes and user feedback to decide what to pursue. Shape voice, tone and behaviour . Set the editorial direction for support conversations across brands, markets and modalities. Write and iterate on system prompts and persona definitions that express this direction through model behaviour. Make deliberate choices about wording, pacing and tone, adapting to local voices, policies and access needs while keeping conversations useful and promises accurate. Build evaluation datasets and testing plans . Establish how teams evaluate conversation quality before and after launch. Create evaluation datasets, testing plans and scoring rubrics to test conversation flows and model behaviour. Define annotation guidelines and annotate conversations for evaluation and model training, calibrating judgments so teams assess quality consistently. Combine these evaluations with research, performance data and reviews of hundreds of transcripts to improve accuracy, resolution quality and customer effort, and influence what the team prioritises. Design conversational safeguards . Identify conversational risks and define, implement and test guardrails. Address hallucinations, harmful or biased responses, and requests outside the service’s scope. Define how conversations protect sensitive information, stay within the system’s authority to act, and acknowledge uncertainty or seek human judgement. Raise conversation design capability . Help the wider Studio develop technical fluency and conversational judgement through mentorship, education and shared tools. Build reusable prompt guidance, evaluation tools and working practices with design and cross-functional peers, and lead their adoption across teams to improve conversation quality and inform product priorities. What You’ll Need to Thrive Work samples . Work samples showing strong editorial and conversational judgement, whether through conversational systems, content programmes or shipped products. Show your personal contribution, the direction you set, alternatives you explored and evidence of improved outcomes. We welcome different formats that make your thinking, execution and influence clear. Strategic leadership . Experience setting direction across teams and influencing product priorities, with examples of resolving ambiguity and making trade-offs between user needs, commercial goals and technical constraints. Editorial judgement . A strong editorial point of view, backed by excellent writing and editing. You can explain why a conversation needs a particular message, sequence or tone, cut what gets in the way and give others specific feedback that improves the work. Your background may be in editorial, content design, linguistics, product design or another discipline; what matters is how you apply that judgement to interactive experiences. Hands-on AI practice . Practical fluency with LLMs and code, demonstrated through working AI prototypes and direct investigation of model behaviour. You can distinguish conversational problems from limitations in data, tools or the wider system. Service design judgement . The ability to connect individual conversations to the wider service, including user intent, context, available actions and agent workflows. Your decisions account for accessibility, localisation, privacy and situations that need human intervention. Evaluation and training experience . Experience developing conversation evaluations and annotating model-training data, with evidence of how qualitative and quantitative findings improved model behaviour and informed product decisions. Impact beyond your own work . A track record of improving other teams’ design quality through mentorship, critique and shared tools or practices they’ve adopted. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

We are recruiting speakers of European languages for remote voice recording projects supporting a leading global AI and language technology company. Tasks are simple and may include reading and recording short sentences, listening to audio clips, and checking whether pronunciation sounds clear and natural.

-изучать материалы компании, искать идеи и референсы для видео. -писать сценарии с помощью нейросетей.

Location: Singapore Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is looking for a Member of Technical Staff to join our growing Singapore research team. In this role, you will shape the data and evaluation strategies behind our video generation models. You will own the full data lifecycle—from defining data requirements and annotation standards to building high-quality datasets, evaluating model outputs, and translating findings into actionable recommendations for model improvement. You will work closely with research scientists, machine learning engineers, product teams, and external data partners to strengthen the data–model–evaluation feedback loop. What You’ll Do - Define quality standards for video generation across aesthetics, realism, composition, motion, temporal consistency, instruction following, subject consistency, editing preservation, and text rendering. - Evaluate model iterations, analyze failure patterns, and translate findings into actionable data, training, and prompting strategies. - Own end-to-end training data projects, including sourcing, construction, annotation, captioning, quality control, and delivery. - Develop labeling systems that support dataset segmentation, coverage analysis, quality filtering, training-data mixtures, and model performance attribution. - Design annotation and captioning standards for video generation, editing, and multi-reference tasks. - Create and evaluate synthetic-data workflows based on their stability, usability, quality, and training value. - Develop automated annotation and filtering workflows using vision-language models, system prompts, and quality-scoring models. - Build structured model evaluation processes covering test-set design, evaluation criteria, failure attribution, and reporting. - Establish feedback loops connecting model evaluation and negative-case analysis with data strategy and model iteration. - Train and calibrate annotation teams and external data partners, conduct quality audits, and improve delivery standards. - Partner with research, engineering, product, and creative teams to execute data initiatives and identify future model capabilities. What You’ll Bring - Hands-on experience in data strategy, dataset development, annotation, or model evaluation for generative image, video, or multimodal models. - Experience supporting model development across continued training, supervised fine-tuning, post-training, or evaluation. - Strong understanding of generative media tasks, including image and video generation, multimodal generation, and instruction-based editing. - Experience developing labeling taxonomies, annotation guidelines, captioning standards, quality thresholds, and evaluation frameworks. - Strong visual judgment and the ability to translate subjective quality expectations into measurable data and evaluation standards. - Experience managing large-scale data-production or annotation projects and collaborating with research, engineering, creative, and external partner teams. - Familiarity with automated captioning, synthetic-data generation, vision-language models, prompt design, Python, SQL, or other data and workflow automation tools is a plus. Benefits We Offer: - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: Singapore Workplace: Hybrid About Cantina Cantina Labs develops social AI technologies, including real-time models that enable expressive, lifelike characters. Our work connects advances in video generation and multimodal AI with new ways for people to create, communicate and interact. These capabilities underpin our flagship platform, Cantina, and the broader experiences we are building. About the Role We’re looking for a Visual Data Curation Specialist to join our growing research team in Singapore. You will identify and evaluate image and video sources that support the development of our video generation and multimodal models. This role combines visual expertise, research and analytical judgment. You’ll work closely with researchers and engineers to understand data requirements, translate them into sourcing priorities, and develop a systematic approach to assessing content quality and relevance. You’ll own sourcing and curation projects from initial discovery through review and refinement, helping the team make better decisions about the visual data used in model development. What You’ll Do - Identify and evaluate image and video sources across creator communities, specialist websites, archives and platforms such as YouTube, TikTok, Bilibili, Instagram and Vimeo. - Partner with researchers to translate model development priorities into clear sourcing briefs, selection criteria and content categories. - Assess content across aesthetics, technical quality and research relevance, considering factors such as composition, lighting, resolution, camera movement, subject motion and visual consistency. - Build and maintain a structured source catalogue with representative examples, relevant metadata, quality assessments and clear recommendations. - Identify gaps in coverage across subjects, styles, environments and types of motion, and propose targeted sourcing approaches to address them. - Review sample content with research and engineering colleagues, incorporate feedback and refine selection criteria as requirements evolve. - Document source provenance and available usage information, flagging ownership, licensing or access questions for review. - Develop repeatable curation workflows, tagging systems and quality guidelines, and identify tools that improve the efficiency and consistency of the work. What You’ll Bring - Strong visual judgment and the ability to explain how an image or video meets creative, technical, or research requirements. - A background in film, photography, animation, design, visual arts, media, or a related field, demonstrated through education, professional experience, or a portfolio. Prior experience in machine learning is not required. - Strong research skills, including the ability to investigate unfamiliar topics, assess sources, and turn findings into useful recommendations. - A systematic approach to organizing information and confidence using spreadsheets, databases, or digital asset management tools. - Clear communication, with the ability to translate visual observations into precise feedback for technical colleagues. - The ability to work independently, clarify open-ended requirements, prioritize tasks, and take ownership of work quality. - Curiosity about generative AI and the ability to learn new tools and workflows quickly. Prior machine learning experience is not required. Nice to Have - Hands-on experience in photography, filmmaking, video editing, animation, or other visual production. - Experience in content research, editorial curation, digital asset management, or archive research, including knowledge of visual content communities across platforms and cultures. - Familiarity with dataset curation, annotation, quality assurance, or model evaluation. - Experience with generative image or video tools, basic scripting, SQL, or workflow automation. Benefits We Offer - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: San Mateo Workplace: Hybrid Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is a frontier data research lab. Their thesis: models are what they eat. A large share of training compute is burned on data that's redundant, irrelevant, or harmful - so they built a platform that automatically curates petabytes of raw data into high-quality training data. It's modality-agnostic, needs no labels, and runs inside the customer's own cloud or on-prem. The results are concrete: 7-40x faster training, performance as if trained on 10x+ more raw data, and models with less than half the parameters beating larger ones. AI labs and enterprises use it to train and adapt their own models. Our client has raised ~$60M across Seed and Series A, led by Felicis and Amplify Partners, with Radical Ventures, Microsoft, and Amazon. Angels include Geoff Hinton, Yann LeCun, and Jeff Dean. The team is growing fast on the back of a strong enterprise pipeline. THE MISSION Every company should own its intelligence. Our client wants every AI team - not just the frontier labs - to have frontier-quality training data and full control over the cost and roadmap of their own models. THE OPPORTUNITY Our client is hiring an AI Developer Experience & Media Lead to build its media and developer experience function from zero. You'll be the voice of the company on X and beyond, turning real research into threads, demos, videos, and launches that technical people actually want to read and share. You'll sit on the marketing team and work directly with the co-founder on content strategy and execution, with direct access to the researchers and engineers doing the work. No legacy playbook, no layers of approval - and an AI community that's already paying attention. WHAT YOU'LL DO - Turn research and product work into technical storytelling - threads, demos, videos, and launches - Run the company's voice on X day-to-day: posting, replying, quote-posting, and joining live conversations in real time - Help founders and researchers show up in their own voices - draft for them and enable their social presence - Own research launches end to end across X, the technical blog, and video - angle, assets, sequencing, follow-through - Build real relationships with researchers, open-source developers, AI creators, and technical founders - Bring community feedback back to product and research to shape what gets built and communicated next - Experiment across formats and channels, track what earns attention and trust, and let the data steer strategy WHAT YOU BRING Must-haves - An active personal X account with 1,000+ followers and a technical audience - Experience creating social content that explains technical concepts - You build your own technical demos - code, notebooks, and video - Strong short-form technical writing - threads, posts, blogs - 2-7 years in technical content, developer marketing, or DevRel in AI/ML Nice-to-haves - CS, ML, or other technical degree (or equivalent self-taught depth) - Experience at an AI model or infrastructure company KEY SUCCESS DRIVERS - X-native: you're already in the AI conversation and know what earns respect from researchers and engineers - Technically credible: you can read a paper, build a demo, and explain it without losing the substance - Ownership: you ship without waiting for a brief and take on the unglamorous work - Experimental: you test formats, read the data, and double down on what works - Focused: you prioritize ruthlessly when everything looks important - Collaborative and candid: you work closely with founders and researchers and give honest feedback with respect - At home in a fast, flat, in-person startup WHY JOIN? - Real material: research with measurable, dramatic results - you'll never have to fake the story - Greenfield ownership of the whole function, working directly with the co-founder - Built-in credibility: backed by Felicis, Amplify, Radical, Microsoft, Amazon, Hinton, LeCun, and Dean - Early equity at an inflection point, when brand and community compound most - $160K-$230K base + significant equity - 100% covered medical, dental, and vision; 401(k) with 4% match; unlimited PTO - $2K wellness and $1K learning stipends; daily lunches; relocation assistance; open to visa transfers INTERVIEWING PROCESS 1. First chat with the Hiring Manager (30 min) 2. Head of Marketing interview (45 min) 3. Take-home content exercise (1 hr) 4. Founder conversation (30 min) 5. On-site team meet (1 hr) We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

• Настраивать AI-автоматизации по инструкциям. • Работать с Claude и ChatGPT.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE This is a chance to build the frontier LLM evals that shape the next generations of flagship models. Could a model design a computer chip, or find the backdoor an attacker left in a network? Public benchmarks can't tell us, as they're generally not a good measure of real work. As an Evaluation Engineer, you'll own evals from start to finish. You'll run workshops with customers, industry experts and our customer-facing teams to understand their most important industry use cases (e.g., an engineer updating a part in CAD software), and help decide which are worth building first. You'll also look beyond today's use cases and design moonshot evals for work no model can do yet, so Mistral gets there first. Then you'll turn each one into a benchmark, often one where an agent has to do the work inside real software. You'll source the data, decide how to score it, and run it on every new Mistral model and on competitor models. When our models fall short, you'll work with the post-training teams to close the gap. When they catch up, you'll make the eval harder. You'll write up and present your results so senior leaders can act on them. They also give our go-to-market teams evidence of where Mistral leads. You'll learn new fields quickly. One month you might be learning how chip designers check their work, and the next how a bank investigates a flagged payment. The team is new and fast-paced, and you'll have a lot of autonomy. You'll spend a lot of time speaking with people across Mistral to work out what matters most, then decide what to build. WHAT YOU WILL DO - Run discovery with customers, industry experts and teams across Mistral, then help decide which use cases are worth building first. - Design new benchmarks for industry use cases and frontier capabilities, including how they're scored. - Build evals where agents work inside real software (e.g., CAD and simulation tools), and run them on our models with checks that the results stay reliable over time. - Stress-test existing evals to find flaws and bugs before we rely on them. - Source data with expert vendors. Where customer data can't leave the customer, build realistic proxy or synthetic data instead. - Write up and present what you find so leaders across Mistral can act on it. - Help other teams build their own evals, with tools and guides they can reuse. WHAT WE'RE LOOKING FOR EXPERIENCE - 2+ years of industry experience (e.g., in software, AI, or consulting), or a PhD. - A software engineering or research background, with experience writing code that others can build on. - Experience working directly with customers, industry experts, or other teams (e.g., through consulting, solutions engineering, or research collaborations). - Experience building something with LLMs. - Comfort working with large datasets, including building and cleaning them. TECHNICAL - Strong Python skills. - Comfortable working in a large, shared codebase and getting your code through reviews by other teams. - A strong understanding of LLM training, inference, and evaluation. COMMUNICATION - You enjoy speaking with people and are good at it. - You write clearly. A short doc or deck from you is enough for a busy leader to make a decision. - Confident presenting to both technical and non-technical audiences. - Fluent in English. HOW YOU WORK - High energy, and you don't need a roadmap. You move independently and handle uncertainty with confidence. - Proactive and high-agency. You spot what needs doing and get it done. - You make good decisions about what to build first and can explain why. - Low-ego, collaborative, and eager to learn. - Curious, with a track record of learning things outside your work or studies. You can get to grips with a new field in a few weeks. NICE TO HAVE - Experience building AI evaluations, especially for industry applications. - Published research on evals or contributions to open-source evaluation frameworks. - Experience building datasets, generating synthetic data, developing labelling guidelines, or working with annotation vendors. - A background in an industry outside software (e.g., engineering, finance, or science). WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Чебоксары Приглашаем на работу главного специалиста разметки данных для обучения нейросетей нового поколения. Обязанности ### **Задачи** * осуществляет обработку текстовых, голосовых, графических/видео файлов в соответствии с установленными правилами и методологией, в том числе требующую специальных навыков * осуществляет верификацию, валидацию обработанных (размеченных) данных * участвует в обучении и адаптации новых сотрудников, исполняет функцию наставника/куратора проекта * формирует сценарии работы продуктов с использованием искусственного интеллекта * участвует в формировании задания на разметку для всех специалистов по разметке данных в соответствии с полученным от заказчика заданием. Требования ### **Требования** * опыт работы не менее 1 года * высшее/ незаконченное высшее образование * уверенный пользователь: Excel, Word * знание английского языка (уровень Elementary / Pre-intermediate) * навыки работы с большим массивом данных, системного анализа * аналитический склад ума. Условия ### **Преимущества** * стабильный оклад и социальная поддержка сотрудников * дистанционный режим * график работы: (5-дневная рабочая неделя, выходные – суббота, воскресенье) * корпоративное обучение в школе Сбера * расширенный ДМС с первого дня и для близких * подписка Прайм с возможностью совместного использования на трёх близких * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ.

Location: Mexico (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are looking for experienced Government professionals to support a cutting-edge AI benchmarking project focused on Mexican public sector environments. As a Subject Matter Expert, you will create and review realistic, high-quality scenarios that reflect operational, administrative, compliance, public safety, social service, and community engagement challenges across government institutions. Your expertise will help ensure AI systems understand and respond accurately within highly regulated and citizen-focused environments. WHAT YOU’LL DELIVER - Design realistic government scenarios in Spanish or English grounded in Mexican public sector contexts (e.g., administrative operations, social services, compliance reviews, public safety coordination, community programs, citizen service delivery) - Adapt structured evaluation rubrics for operational problem-solving, policy interpretation, case management, and decision-making tasks - Review AI and human-generated responses for factual accuracy, procedural compliance, cultural appropriateness, and operational realism - Contribute to “gold standard” solutions reflecting public sector and government best practices QUALIFICATIONS - Native Spanish with strong professional English proficiency - 5+ years of professional experience in government, public administration, social services, public safety, compliance, or community programs - Background in one or more relevant roles: Administrative Services Management, Child/Family/School Social Work, Compliance & Regulatory Affairs, Police or Public Safety Supervision, Recreation & Community Services, or related government functions - Strong understanding of public sector workflows, operational procedures, regulatory requirements, and Mexican government environments WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. What to Consider Before Applying - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain. Step 2: Register in Tipalti to ensure a smooth payment process. Step 3: Finalize onboarding and join the Production team. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We're piloting a new type of voice work as part of a voice data collection program: live, roleplayed customer service calls. You play the business, such as a clinic receptionist or a facility assistant. A member of our training team calls you as the customer. Calls are unscripted on the caller's side, so you'll need to stay in character, follow a defined policy, and handle whatever comes up naturally. After each call, you score the caller's performance on a short online form. You're assessed on three things: how well you perform, how well you capture the audio, and how accurately you evaluate the call. What You’ll Own: Prepare in advance from two receiver scripts that you'll receive at least 24 hours before your session. Learn the beats well enough to deliver them as natural speech, not read them aloud. Take two role played calls of about 5–7 minutes each in a single 20-minute session. One is a routine call. The other is more demanding and requires you to hold a firm position politely while the caller pushes back. Deliver clear, expressive, and consistent vocal performances across calls, following the project guidelines for tone, pacing, and scenarios. State fixed facts exactly as written, including prices, hours, policies, and timeframes. Capture caller-supplied details such as names, phone numbers, dosages, and amounts precisely, and read them back accurately. Verify a caller's identity and authority before acting on an account and disclose only what the script permits. Hold a policy without inventing authority, workarounds, or exceptions, and without sounding cold or robotic. Record both sides of each call as a single mixed audio track using the provided capture equipment. Name the files exactly as specified and upload them to the designated folder shared in your briefing packet. Within 24 hours of your session, upload both recordings and complete a structured evaluation of each call: scores on a 1–5 scale, error tags with severity ratings, and specific, timestamped notes that someone who didn't hear the call could act on. You’ll Thrive in This Role If You Have Native-level English, including comfort reading numbers, names, and medication dosages back accurately. Professional experience in voice acting, acting, concierge-style or customer-facing voice work, or similar. Call-quality monitoring, QA analyst, or trainer/CSM experience in a BPO environment. Reception or front-desk experience in a clinic, property management, or storage/utilities setting. Theatre, improv, or voice-over experience. A quiet, uninterrupted space at home for the session, with no background noise or shared room. Availability for a 20-minute live session, plus preparation time before and evaluation time after. Strong attention to detail and the ability to follow precise technical and file-delivery instructions. The expected hourly salary range for this position is $25-$30p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .